S. Ramkumar
Impact in
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology
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- Artificial Intelligence in Healthcare and Education
Papers in
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- Gaze Tracking and Assistive Technology 14
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- EEG and Brain-Computer Interfaces 14
- Co-authors
- G. Emayavaramban (8 shared papers)Ahmed Faeq Hussein (3 shared papers)V. Muneeswaran (3 shared papers)M. Thilagaraj (5 shared papers)M. Pallikonda Rajasekaran (4 shared papers)K. Maheswari (4 shared papers)T. Rajendran (2 shared papers)G. Charlyn Pushpa Latha (2 shared papers)
- Journals
- Artificial Intelligence in Medicine (4 papers)IEEE Access (3 papers)Scientific Reports (2 papers)Applied Soft Computing (1 paper)Computational Intelligence and Neuroscience (1 paper)
- Partner nations
- IndiaChinaSaudi Arabia
In The Last Decade
S. Ramkumar
44 papers receiving 424 citations
Peers
Comparison fields: 5 of 74
- Human-Computer Interaction 81
- Health Informatics 14
- Cognitive Neuroscience 77
- Artificial Intelligence 77
- Health Information Management 18
Countries citing papers authored by S. Ramkumar
This map shows the geographic impact of S. Ramkumar's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by S. Ramkumar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Ramkumar more than expected).
Fields of papers citing papers by S. Ramkumar
This network shows the impact of papers produced by S. Ramkumar. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by S. Ramkumar. The network helps show where S. Ramkumar may publish in the future.
Co-authors
The 25 scholars most cited alongside S. Ramkumar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 47 | |
| 2 | 2020 | 33 | |
| 3 | 2018 | 28 | |
| 4 | 2019 | 27 | |
| 5 | 2019 | 25 | |
| 6 | 2018 | 24 | |
| 7 | 2022 | 24 | |
| 8 | 2019 | 22 | |
| 9 | 2023 | 21 | |
| 10 | 2019 | 17 | |
| 11 | 2020 | 16 | |
| 12 | 2019 | 15 | |
| 13 | 2021 | 15 | |
| 14 | Idendifying Eye Movements using Neural Networks for Human Computer Interaction | 2014 | 12 |
| 15 | 2018 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2020 | 10 | |
| 18 | 2019 | 9 | |
| 19 | 2019 | 7 | |
| 20 | 2019 | 7 |
About S. Ramkumar
S. Ramkumar is a scholar working on Human-Computer Interaction, Cognitive Neuroscience, Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 454 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (14 papers), Gaze Tracking and Assistive Technology (14 papers), AI in cancer detection (3 papers), Traffic Prediction and Management Techniques (2 papers), Data Mining and Machine Learning Applications (2 papers), Smart Agriculture and AI (2 papers), Hate Speech and Cyberbullying Detection (2 papers) and Cloud Data Security Solutions (2 papers). The work is most often cited by research in Human-Computer Interaction (81 citations), Health Informatics (14 citations), Cognitive Neuroscience (77 citations), Artificial Intelligence (77 citations) and Health Information Management (18 citations). S. Ramkumar has collaborated with scholars based in India, China and Saudi Arabia. Frequent co-authors include G. Emayavaramban, Ahmed Faeq Hussein, V. Muneeswaran, M. Thilagaraj, M. Pallikonda Rajasekaran, K. Maheswari, T. Rajendran, G. Charlyn Pushpa Latha, Karuppusamy Loganathan and Dunhu Liu. Their work appears in journals such as Artificial Intelligence in Medicine, IEEE Access, Scientific Reports, Applied Soft Computing and Computational Intelligence and Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.